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Systematic reviews are vital for guiding practice, research, and policy, yet they are often slow and labour-intensive.
Trialstreamer: A living, automatically updated database of clinical trial reports
Marshall, I. J., Nye, B., Kuiper, J., Noel-Storr, A., Marshall, R., Maclean, R., Soboczenski, F., Nenkova, A., Thomas, J., and Wallace, B. C. (2020) · 1912
Earlier work this paper cites.
A coefficient of agreement for nominal scales
Cohen, J. (1960) · 1960
Earlier work this paper cites.
Bias, prevalence and kappa
Byrt, T., Bishop, J., and Carlin, J. B. (1993) · 1993
Earlier work this paper cites.
Automatic summarization of results from clinical trials
Summerscales, R. L., Argamon, S., Bai, S., Hupert, J., and Schwartz, A. (2011) · 2011
Earlier work this paper cites.
Interrater reliability: The kappa statistic
McHugh, M. L. (2012) · 2012
Earlier work this paper cites.
Where is the evidence? realising the value of grey literature for public policy and practice, a discussion paper
Lawrence, A., Houghton, J., Thomas, J., and Weldon, P. (2014) · 2014
Earlier work this paper cites.
Summarizing systematic reviews: Methodological development, conduct and reporting of an umbrella review approach
Aromataris, E., Fernandez, R., Godfrey, C. M., Holly, C., Khalil, H., and Tungpunkom, P. (2015) · 2015
Earlier work this paper cites.
Extracting pico sentences from clinical trial reports using supervised distant supervision
Wallace, B. C., Kuiper, J., and Sharma, A. (2016) · 2016
Earlier work this paper cites.
Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the prospero registry
Borah, R., Brown, A. W., Capers, P. L., and Kaiser, K. A. (2017) · 2017
Earlier work this paper cites.
Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., and Polosukhin, I. (2017) · 2017
Earlier work this paper cites.
Making progress with the automation of systematic reviews: Principles of the international collaboration for the automation of systematic reviews (icasr)
Beller, E., Clark, J., Tsafnat, G., Adams, C., Diehl, H., Lund, H., Ouzzani, M., Thayer, K., Thomas, J., Turner, T., Xia, J., Robinson, K., Glasziou, P., Adams, C., Ahtirschi, O., Beller, E., Clark, J., Christensen, R., Diehl, H., and et al. (2018) · 2018
Earlier work this paper cites.
Best match: New relevance search for pubmed
Fiorini, N., Canese, K., Starchenko, G., Kireev, E., Kim, W., Miller, V., Osipov, M., Kholodov, M., Ismagilov, R., Mohan, S., Ostell, J., and Lu, Z. (2018) · 2018
Earlier work this paper cites.
Nivolumab for adults with hodgkin’s lymphoma (a rapid review using the software robotreviewer)
Goldkuhle, M., Dimaki, M., Gartlehner, G., Monsef, I., Dahm, P., Glossmann, J.-P., Engert, A., von Tresckow, B., and Skoetz, N. (2018) · 2018
Earlier work this paper cites.
A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature
Nye, B., Li, J. J., Patel, R., Yang, Y., Marshall, I., Nenkova, A., and Wallace, B. (2018) · 2018
Cited alongside, same era.
The significant cost of systematic reviews and meta-analyses: A call for greater involvement of machine learning to assess the promise of clinical trials
Michelson, M. and Reuter, K. (2019) · 2019
Cited alongside, same era.
A full systematic review was completed in 2 weeks using automation tools: A case study
Clark, J., Glasziou, P., Del Mar, C., Bannach-Brown, A., Stehlik, P., and Scott, A. M. (2020) · 2020
Cited alongside, same era.
A systematic review of the association between fault or blame-related attributions and procedures after transport injury and health and work-related outcomes
Giummarra, M. J., Lau, G., Grant, G., and Gabbe, B. J. (2020) · 2020
Cited alongside, same era.
Interventions for increasing colorectal cancer screening uptake among african-american men: A systematic review and meta-analysis
Advice for improving the reproducibility of data extraction in meta-analysis
Ivimey-Cook, E. R., Noble, D. W. A., Nakagawa, S., Lajeunesse, M. J., and Pick, J. L. (2023) · 2023
Closest in time.
Human heuristics for ai-generated language are flawed
Jakesch, M., Hancock, J. T., and Naaman, M. (2023) · 2023
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In-depth evaluation of machine learning methods for semi-automating article screening in a systematic review of mechanistic literature
Kebede, M. M., Le Cornet, C., and Fortner, R. T. (2023) · 2023
Closest in time.
Application chatgpt in conducting systematic reviews and meta-analyses
Mahuli, S. A., Rai, A., Mahuli, A. V., and Kumar, A. (2023) · 2023
Closest in time.
A novel application of machine learning and zero-shot classification methods for automated abstract screening in systematic reviews
Moreno-Garcia, C. F., Jayne, C., Elyan, E., and Aceves-Martins, M. (2023) · 2023
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Rogers, C. R., Matthews, P., Xu, L., Boucher, K., Riley, C., Huntington, M., Le Duc, N., Okuyemi, K. S., and Foster, M. J. (2020) · 2020
Cited alongside, same era.
Error rates of human reviewers during abstract screening in systematic reviews
Wang, Z., Nayfeh, T., Tetzlaff, J., O’Blenis, P., and Murad, M. H. (2020) · 2020
Cited alongside, same era.
Graphical enhancements to summary receiver operating characteristic plots to facilitate the analysis and reporting of meta-analysis of diagnostic test accuracy data
Patel, A., Cooper, N., Freeman, S., and Sutton, A. (2021) · 2021
Cited alongside, same era.
Using artificial intelligence methods for systematic review in health sciences: A systematic review
Blaizot, A., Veettil, S. K., Saidoung, P., Moreno-Garcia, C. F., Wiratunga, N., Aceves-Martins, M., Lai, N. M., and Chaiyakunapruk, N. (2022) · 2022
Cited alongside, same era.
A semiparametric approach for meta-analysis of diagnostic accuracy studies with multiple cut-offs
Fr "omke, C., Kirstein, M., and Zapf, A. (2022) · 2022
Cited alongside, same era.
Toxic effects of nanomaterials for health applications: How automation can support a systematic review of the literature?
Halamoda-Kenzaoui, B., Rolland, E., Piovesan, J., Puertas Gallardo, A., and Bremer-Hoffmann, S. (2022) · 2022
Cited alongside, same era.
Harnessing the power of chatgpt for automating systematic review process: Methodology, case study, limitations, and future directions
Alshami, A., Elsayed, M., Ali, E., Eltoukhy, A. E. E., and Zayed, T. (2023) · 2023
Cited alongside, same era.
Artificial hallucination: Gpt on lsd?
Beutel, G., Geerits, E., and Kielstein, J. T. (2023) · 2023
Cited alongside, same era.
The shift in research trends related to artificial intelligence in library repositories during the coronavirus pandemic
Nugroho, P. A., Anna, N. E. V., and Ismail, N. (2023) · 2023
Closest in time.
OpenAI (2023) · 2023
Closest in time.
Are chatgpt and large language models “the answer” to bringing us closer to systematic review automation?
Qureshi, R., Shaughnessy, D., Gill, K. A. R., Robinson, K. A., Li, T., and Agai, E. (2023) · 2023
Closest in time.
The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review
Santos, Á. O. d., da Silva, E. S., Couto, L. M., Reis, G. V. L., and Belo, V. S. (2023) · 2023
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Diagnostic testing accuracy: Sensitivity, specificity, predictive values and likelihood ratios
Shreffler, J. and Huecker, M. R. (2023) · 2023
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Assessing the ability of chatgpt to screen articles for systematic reviews
Syriani, E., David, I., and Kumar, G. (2023) · 2023
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Artificial intelligence in systematic reviews: Promising when appropriately used
van Dijk, S. H. B., Brusse-Keizer, M. G. J., Bucsán, C. C., van der Palen, J., Doggen, C. J. M., and Lenferink, A. (2023) · 2023
Closest in time.
Can chatgpt write a good boolean query for systematic review literature search?
Wang, S., Scells, H., Koopman, B., and Zuccon, G. (2023) · 2023
Closest in time.